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Neuroimaging biomarkers for Alzheimer’s disease.
Open accessAbstract
Currently, over five million Americans suffer with Alzheimer's disease (AD). In the absence of a cure, this number could increase to 13.8 million by 2050. A critical goal of biomedical research is to establish indicators of AD during the preclinical stage (i.e. biomarkers) allowing for early diagnosis and intervention. Numerous advances have been made in developing biomarkers for AD using neuroimaging approaches. These approaches offer tremendous versatility in terms of targeting distinct age-related and pathophysiological mechanisms such as structural decline (e.g. volumetry, cortical thinning), functional decline (e.g. fMRI activity, network correlations), connectivity decline (e.g. diffusion anisotropy), and pathological aggregates (e.g. amyloid and tau PET). In this review, we survey the state of the literature on neuroimaging approaches to developing novel biomarkers for the amnestic form of AD, with an emphasis on combining approaches into multimodal biomarkers. We also discuss emerging methods including imaging epigenetics, neuroinflammation, and synaptic integrity using PET tracers. Finally, we review the complementary information that neuroimaging biomarkers provide, which highlights the potential utility of composite biomarkers as suitable outcome measures for proof-of-concept clinical trials with experimental therapeutics.
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“patients with preclinical AD have widespread white matter abnormalities at a stage similar to those reported in AD (Marquez and Yassa, 2019; Stone et al., 2021).”
From Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging (2022) · cites this paper as Marquez and Yassa, 2019
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Metadata
- Authors
- Márquez, F., & Yassa, M. A.
- Affiliations
- University of California, Irvine (US)
- Corresponding author
- Márquez, Freddie
- Yassa, Michael A.
- Venue
- Molecular Neurodegeneration
- Published
- 2019-06-07
- Volume
- 14
- Issue
- 1
- Pages
- 21-21
- ISSN
- 1750-1326 (ISSN-L)
- PMC
- PMC6555939
- OpenAlex
- W2955418937
- Cited by
- 289
- References
- 196
- Citations by year
- 2026: 31 · 2025: 51 · 2024: 53 · 2023: 36 · 2022: 49 · 2021: 46 · 2020: 18 · 2019: 3
- FWCI
- 4.88
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Molecular Neurodegeneration (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Division of Molecular and Cellular Biosciences (GRFP DGE-1321846, B2D 1612490)
- National Institute on Aging (P50AG05146, R21AG049220, R01AG053555)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- Alzheimer's disease, neuroimaging biomarkers, preclinical Alzheimer's disease, early diagnosis, multimodal biomarkers, amyloid PET, tau PET, cortical thinning, brain volumetry, functional connectivity, diffusion anisotropy, neuroinflammation, synaptic integrity, composite biomarker, clinical trial outcome measures
- MeSH terms
- Alzheimer Disease, Brain, Humans, Biomarkers, Early Diagnosis, Amyloidogenic Proteins, Neuroimaging
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